【May 2025】According to SHINDEV’s research team, Quanji Technology has achieved mass-production vehicle integration of a UWB in-cabin monitoring system capable of “vital-sign sensing,” now deployed on a model from a well-known Japanese joint-venture automaker. SHINDEV believes this is not merely a single feature launch, but a pivotal milestone in the evolution of high-precision positioning—from “cold coordinate points” to “human-centric spatial intelligence.” When positioning technology can see through visual blind spots and interpret the “people” and “states” within a space, its role extends beyond a tool and begins to resemble a foundational infrastructure for the digital society—much like power grids did a century ago.
SHINDEV notes that UWB and AoA (Angle of Arrival), among other high-precision positioning and direction-finding technologies, are redefining the “IQ of space”—enabling buildings, vehicles, and cities to perceive and respond to people, objects, and events in real time. Under this trend, high-precision positioning is undergoing a quiet yet profound technological and industrial transformation: shifting from “location services” toward a “spatial operating system,” and from an “optional capability” to an “essential foundation layer.”
SHINDEV believes the automotive domain is among the first major arenas where high-precision positioning can be validated at scale. Compared with consumer electronics, vehicles impose far stricter requirements for stability, safety, and engineering reliability. Once a solution reaches mass-production vehicle deployment, it signals that key thresholds have been crossed across cost, algorithms, hardware consistency, supply-chain delivery, and automotive-grade validation.
The core value of this UWB in-cabin vital-sign monitoring system lies in its effective coverage of visual dead zones—such as under-seat areas and footwell blind spots—delivering more reliable in-cabin target detection and state assessment under complex occlusion. SHINDEV believes capabilities “designed for safety and life protection” will accelerate the transition of high-precision positioning in vehicles from an “optional user-experience add-on” to a “standard safety foundation.”
SHINDEV points out that with the evolution of IoT and smart cities, location data has become a core element of industrial digitalization—by widely cited industry views, roughly 70% of IoT data is location-related. The practical challenge is that as much as 80% of human activity occurs in complex indoor-outdoor environments, where traditional GPS/GNSS often fails or suffers significant accuracy degradation—indoors, urban canyons, underground spaces, factories, and warehouses—creating a long-standing “last-mile” blind zone that conventional solutions struggle to address.
Against this backdrop, developing autonomous and controllable high-precision positioning technologies is not only an industrial necessity for closing critical gaps and enabling spatial intelligence at scale, but also a matter of strategic significance—supporting multi-dimensional capabilities such as public safety, critical-infrastructure operations, industrial production scheduling, and major-scenario.
SHINDEV’s research suggests that the core value of high-precision positioning lies in solving the “last-meter” problem in complex indoor-outdoor environments, enabling a qualitative shift from “zonal judgments” to “point-level confirmation.” Compared with traditional positioning, high-precision positioning is not only about being “more accurate,” but about being usable and reliable in real-world complexity. Key capabilities typically include:
Centimeter / sub-meter accuracy for fine-grained point localization of people and objects;
3D positioning including vertical height / floor-level identification;
Real-time dynamic updates (Hz-level refresh rates) to support moving-target tracking and real-time decision-making;
Robustness in complex environments, maintaining stable outputs amid multipath reflections, non-line-of-sight occlusions, dense metal structures, and dynamic crowds.
SHINDEV believes the combination of “centimeter-level positioning + real-time response + engineering reliability” elevates high-precision positioning beyond a mere tool, making it an indispensable infrastructure for digital transformation. With this foundation, buildings, vehicles, and cities can develop “spatial intelligence,” enabling a safer, more efficient, and more human-centric digital civilization.
SHINDEV notes that the difficulty of indoor positioning is not simply about being “slightly less accurate,” but stems from systematic challenges inherent to indoor environments:
Signal attenuation and multipath effects: walls, furniture, metal racks, and crowds weaken signals and cause reflections/refractions, disrupting time-of-arrival and path estimation;
Non-Line-of-Sight (NLoS) occlusions: devices often lack direct visibility, and detoured or penetrated signals introduce larger errors;
Dynamic environmental changes: foot traffic, doors, moving goods, and layout changes continuously alter propagation conditions and stability;
Complex spatial structures: multi-floor, multi-room, multi-corridor environments require 3D and hierarchical (floor-aware) identification.
Under these constraints, the industry is moving toward parallel and converging routes—UWB, AoA, Bluetooth, Wi-Fi, vision, and inertial navigation among them. SHINDEV believes future competition will not be determined by “the strongest single technology,” but by who can achieve the best engineering balance across cost, accuracy, deployment complexity, and long-term operations—while delivering scalable, replicable solutions.
To continuously track the evolution from “capability” to “infrastructure,” SHINDEV has established a dynamic industry observation framework focusing on four dimensions:
Technology essence: capability boundaries, key metrics, and route combinations for high-precision positioning (e.g., UWB/AoA);
Industrial value: how core value consolidates into a “spatial-intelligence foundation,” including localization and autonomy of the supply chain;
Market validation: addressable market size, rollout pace in representative scenarios, commercialization progress, and financing momentum;
Investment opportunities: value anchors, core competitive dimensions, and differentiated paths (productization, engineering, platformization).
SHINDEV believes long-term potential should be assessed by whether a solution demonstrates automotive/industrial-grade engineering capability, robustness in complex environments, scalable deployment, and a sustained data-and-ecosystem feedback loop. As the technology moves from “usable” to “truly usable,” and then to “replicable,” the industrial value can shift from project-based delivery to platform-based expansion.
SHINDEV believes that from mass-production in-cabin vital-sign monitoring to city-scale spatial-intelligence systems, high-precision positioning is completing a transition from “coordinate services” to “spatial infrastructure.” Future competition will not only be about accuracy metrics, but also about standards systems, engineering replication, data feedback loops, and ecosystem collaboration. Those innovative players who achieve “scalable, operable, and continuously iterative” deployment first will be more likely to secure industry leadership in this foundational revolution of spatial intelligence.
